Contact: Parisa

"We are interested in research on machine learning, natural language processing and combining vision and language. We work on information and semantic extraction from language. We investigate methodologies to interplay between learning and reasoning, and develop techniques to include declarative and procedural knowledge in statistical/neural learning. We develop research software and build prototypes to facilitate designing AI systems. We also aim to apply our techniques and tools on real world-problems and conduct multi-disciplinary research to impact the society for making the world a better place to live."


DomiKnowS: A Declarative Learning Based Programming Framework For Integration of Domain Knowledge in Statistical Learning


Funded by: Office of Naval Research

SpLang: Combining Learning and Reasoning for Spatial Language Understanding


Funded by: National Science Foundation